Impact of minimum unit pricing on youth alcohol consumption: insights from Lebanon
Bibliographic record
Abstract
This paper analyses the impact of introducing an alcohol minimum unit pricing policy on youth's off-premise alcohol consumption. We rely on price elasticities derived using stated preference alcohol purchase data from a survey of 1024 university students in Lebanon. Selectively targeting drinks with high ethanol concentration by applying a minimum unit pricing (MUP) corresponding to the maximum price that respondents are willing to pay per beverage achieves a reduction in ethanol intake close to 0.23 l/month (∼28% of pre-MUP ethanol intake). Imposing a flat MUP corresponding to the average price respondents are willing to pay for all alcoholic beverages decreases ethanol intake by nearly half the reduction from the previous targeted MUP. This work provides evidence in favour of MUP in conjunction with taxation capable of substantially reducing alcohol consumption. We also document a positive welfare benefit of MUP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".